Constraint-Handling in Evolutionary Optimization; Efrén Mezura-Montes (Editor) : Springer, Studies in Computational Intelligence Series Vol. 198, 1st Edition, 2009. ISBN: 978-3-642-00618-0
The use of evolutionary and swarm intelligence algorithms, has become a very popular option to solve complex real-world optimization problems. However, in their original versions, these algorithms lack a mechanism to handle the constraints of the problem i.e. they were designed to deal with unconstr...
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| Formato: | Articulo Revision |
| Lenguaje: | Inglés |
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2009
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| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/9648 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr09-BR1.pdf |
| Aporte de: |
| Sumario: | The use of evolutionary and swarm intelligence algorithms, has become a very popular option to solve complex real-world optimization problems. However, in their original versions, these algorithms lack a mechanism to handle the constraints of the problem i.e. they were designed to deal with unconstrained search spaces. Therefore, the design of constraint-handling mechanism is nowadays considered a research area within natureinspired computation for optimization. |
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